Ordinal uncertainty models

Uncertainty models can be classified as ordinal, interval, radio and absolute based on the scale strength of the data and information requirements of a model. The ordinal uncertainty models require the weakest set of assumptions known as the weak order properties. Such models are very cost effective since data test requirements are minimal. But the fuzzy approximate reasoning models based on the ordinal uncertainty provide sound inference techniques for use in knowledge based systems design and development